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updated CARLA to allow the usage of predefined experiment suites
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@@ -40,7 +40,7 @@ agent_params = CILAgentParameters()
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# forward camera and measurements input
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agent_params.network_wrappers['main'].input_embedders_parameters = {
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'forward_camera': InputEmbedderParameters(scheme=[Conv2d([32, 5, 2]),
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'CameraRGB': InputEmbedderParameters(scheme=[Conv2d([32, 5, 2]),
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Conv2d([32, 3, 1]),
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Conv2d([64, 3, 2]),
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Conv2d([64, 3, 1]),
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@@ -80,13 +80,13 @@ agent_params.network_wrappers['main'].learning_rate = 0.0002
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# crop and rescale the image + use only the forward speed measurement
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agent_params.input_filter = InputFilter()
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agent_params.input_filter.add_observation_filter('forward_camera', 'cropping',
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agent_params.input_filter.add_observation_filter('CameraRGB', 'cropping',
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ObservationCropFilter(crop_low=np.array([115, 0, 0]),
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crop_high=np.array([510, -1, -1])))
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agent_params.input_filter.add_observation_filter('forward_camera', 'rescale',
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agent_params.input_filter.add_observation_filter('CameraRGB', 'rescale',
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ObservationRescaleToSizeFilter(
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ImageObservationSpace(np.array([88, 200, 3]), high=255)))
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agent_params.input_filter.add_observation_filter('forward_camera', 'to_uint8', ObservationToUInt8Filter(0, 255))
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agent_params.input_filter.add_observation_filter('CameraRGB', 'to_uint8', ObservationToUInt8Filter(0, 255))
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agent_params.input_filter.add_observation_filter(
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'measurements', 'select_speed',
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ObservationReductionBySubPartsNameFilter(
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@@ -113,7 +113,7 @@ agent_params.memory.num_classes = 4
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###############
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env_params = CarlaEnvironmentParameters()
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env_params.level = 'town1'
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env_params.cameras = [CameraTypes.FRONT]
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env_params.cameras = ['CameraRGB']
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env_params.camera_height = 600
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env_params.camera_width = 800
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env_params.allow_braking = False
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